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Naser Aldine F, Singh AN, Wang H, Makey DM, Barrientos RC, Wong M, Aggarwal P, Regalado EL, Ahmad IAH. Improved assay development of pharmaceutical modalities using feedback-controlled liquid chromatography optimization. J Chromatogr A 2024; 1722:464830. [PMID: 38608366 DOI: 10.1016/j.chroma.2024.464830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/18/2024] [Accepted: 03/20/2024] [Indexed: 04/14/2024]
Abstract
Development of meaningful and reliable analytical assays in the (bio)pharmaceutical industry can often be challenging, involving tedious trial and error experimentation. In this work, an automated analytical workflow using an AI-based algorithm for streamlined method development and optimization is presented. Chromatographic methods are developed and optimized from start to finish by a feedback-controlled modeling approach using readily available LC instrumentation and software technologies, bypassing manual user intervention. With the use of such tools, the time requirement of the analyst is drastically minimized in the development of a method. Herein key insights on chromatography system control, automatic optimization of mobile phase conditions, and final separation landscape for challenging multicomponent mixtures are presented (e.g., small molecules drug, peptides, proteins, and vaccine products) showcased by a detailed comparison of a chiral method development process. The work presented here illustrates the power of modern chromatography instrumentation and AI-based software to accelerate the development and deployment of new separation assays across (bio)pharmaceutical modalities while yielding substantial cost-savings, method robustness, and fast analytical turnaround.
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Affiliation(s)
- Fatima Naser Aldine
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA
| | - Andrew N Singh
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA
| | - Heather Wang
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA
| | - Devin M Makey
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA; Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Rodell C Barrientos
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA
| | - Michelle Wong
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA
| | - Pankaj Aggarwal
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA
| | - Erik L Regalado
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA
| | - Imad A Haidar Ahmad
- Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA.
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